暂无分享,去创建一个
Martin Brossard | Axel Barrau | Silvere Bonnabel | Paul Chauchat | S. Bonnabel | A. Barrau | Martin Brossard | P. Chauchat
[1] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[2] Tim D. Barfoot,et al. Full STEAM ahead: Exactly sparse gaussian process regression for batch continuous-time trajectory estimation on SE(3) , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[3] Axel Barrau,et al. A Mathematical Framework for IMU Error Propagation with Applications to Preintegration , 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[4] Frank Dellaert,et al. iSAM2: Incremental smoothing and mapping using the Bayes tree , 2012, Int. J. Robotics Res..
[5] Peter Cheeseman,et al. On the Representation and Estimation of Spatial Uncertainty , 1986 .
[6] Juan Andrade-Cetto,et al. Joint on-manifold self-calibration of odometry model and sensor extrinsics using pre-integration , 2019, 2019 European Conference on Mobile Robots (ECMR).
[7] Frank Dellaert,et al. Factor graph based incremental smoothing in inertial navigation systems , 2012, 2012 15th International Conference on Information Fusion.
[8] Guoquan Huang,et al. Closed-form preintegration methods for graph-based visual–inertial navigation , 2018, Int. J. Robotics Res..
[9] Salah Sukkarieh,et al. Visual-Inertial-Aided Navigation for High-Dynamic Motion in Built Environments Without Initial Conditions , 2012, IEEE Transactions on Robotics.
[10] Gregory S. Chirikjian,et al. Nonparametric Second-order Theory of Error Propagation on Motion Groups , 2008, Int. J. Robotics Res..
[11] Timothy D. Barfoot,et al. A White-Noise-on-Jerk Motion Prior for Continuous-Time Trajectory Estimation on SE(3) , 2018, IEEE Robotics and Automation Letters.
[12] Timothy D. Barfoot,et al. A Data-Driven Motion Prior for Continuous-Time Trajectory Estimation on SE(3) , 2020, IEEE Robotics and Automation Letters.
[13] Michael Bosse,et al. Keyframe-based visual–inertial odometry using nonlinear optimization , 2015, Int. J. Robotics Res..
[14] Shi-Sheng Huang,et al. Tightly-Coupled Monocular Visual-Odometric SLAM Using Wheels and a MEMS Gyroscope , 2018, IEEE Access.
[15] Henawy John,et al. Accurate IMU Factor Using Switched Linear Systems for VIO , 2020, IEEE Transactions on Industrial Electronics.
[16] F. Dellaert. Factor Graphs and GTSAM: A Hands-on Introduction , 2012 .
[17] Gregory S. Chirikjian,et al. Error propagation on the Euclidean group with applications to manipulator kinematics , 2006, IEEE Transactions on Robotics.
[18] Dehann Fourie,et al. Multi-modal and inertial sensor solutions for navigation-type factor graphs , 2017 .
[19] Frank Dellaert,et al. On-Manifold Preintegration for Real-Time Visual--Inertial Odometry , 2015, IEEE Transactions on Robotics.
[20] Maurice Fallon,et al. Preintegrated Velocity Bias Estimation to Overcome Contact Nonlinearities in Legged Robot Odometry , 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[21] Audrey Giremus,et al. Continuous-Discrete Extended Kalman Filter on Matrix Lie Groups Using Concentrated Gaussian Distributions , 2014, Journal of Mathematical Imaging and Vision.
[22] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[23] Manuela Herman,et al. Aided Navigation Gps With High Rate Sensors , 2016 .
[24] Frank Dellaert,et al. Information fusion in navigation systems via factor graph based incremental smoothing , 2013, Robotics Auton. Syst..
[25] Vijay Kumar,et al. Tightly-coupled monocular visual-inertial fusion for autonomous flight of rotorcraft MAVs , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[26] Maani Ghaffari Jadidi,et al. Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation Using Factor Graphs , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[27] Kevin C. Wolfe,et al. Bayesian Fusion on Lie Groups , 2011 .
[28] Gregory S. Chirikjian,et al. The Banana Distribution is Gaussian: A Localization Study with Exponential Coordinates , 2012, Robotics: Science and Systems.
[29] Dinesh Atchuthan,et al. A micro Lie theory for state estimation in robotics , 2018, ArXiv.
[30] Paul Timothy Furgale,et al. Associating Uncertainty With Three-Dimensional Poses for Use in Estimation Problems , 2014, IEEE Transactions on Robotics.
[31] Sylvain Calinon. Gaussians on Riemannian Manifolds: Applications for Robot Learning and Adaptive Control , 2020, IEEE Robotics & Automation Magazine.
[32] Ming Liu,et al. Tightly Coupled 3D Lidar Inertial Odometry and Mapping , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[33] Jean-Philippe Condomines,et al. Unscented Kalman filtering on Lie groups , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[34] José A. Castellanos,et al. On the Importance of Uncertainty Representation in Active SLAM , 2018, IEEE Transactions on Robotics.
[35] Eren Allak,et al. Covariance Pre-Integration for Delayed Measurements in Multi-Sensor Fusion , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[36] Shoudong Huang,et al. Gaussian Process Preintegration for Inertial-Aided State Estimation , 2020, IEEE Robotics and Automation Letters.
[37] Axel Barrau,et al. Invariant Kalman Filtering , 2018, Annu. Rev. Control. Robotics Auton. Syst..
[38] Davide Scaramuzza,et al. A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[39] Liu Ren,et al. Analytic Combined IMU Integration (ACI2) For Visual Inertial Navigation , 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[40] Axel Barrau,et al. Linear observed systems on groups , 2019, Syst. Control. Lett..
[41] Frank Dellaert,et al. Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[42] Timothy D. Barfoot,et al. State Estimation for Robotics , 2017 .
[43] Anish K Mampetta. A Lie group formulation of Kinematics and Dynamics of serial Manipulators Course Project Report 16-741 : Mechanics of Manipulation , 2006 .
[44] Ryan M. Eustice,et al. Characterizing the Uncertainty of Jointly Distributed Poses in the Lie Algebra , 2019, IEEE Transactions on Robotics.
[45] J.L. Crassidis,et al. Sigma-point Kalman filtering for integrated GPS and inertial navigation , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[46] Yun-Hui Liu,et al. Visual-Odometric Localization and Mapping for Ground Vehicles Using SE(2)-XYZ Constraints , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[47] Wolfram Burgard,et al. A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[48] Paul Chauchat,et al. Smoothing algorithms for navigation, localisation and mapping based on high-grade inertial sensors. (Algorithmes de lissage pour la navigation, la localisation et la cartographie, basés sur des capteurs inertiels haute qualité) , 2020 .
[49] Frank Dellaert,et al. Factor Graphs for Robot Perception , 2017, Found. Trends Robotics.
[50] Tat-Jun Chin,et al. Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[51] Axel Barrau,et al. The Invariant Extended Kalman Filter as a Stable Observer , 2014, IEEE Transactions on Automatic Control.
[52] G. Chirikjian. Stochastic models, information theory, and lie groups , 2012 .
[53] Kevin Eckenhoff,et al. Direct visual-inertial navigation with analytical preintegration , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[54] Shaojie Shen,et al. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator , 2017, IEEE Transactions on Robotics.
[55] Frank Dellaert,et al. IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation , 2015, Robotics: Science and Systems.